|
{ |
|
"policy_class": { |
|
":type:": "<class 'abc.ABCMeta'>", |
|
":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", |
|
"__module__": "stable_baselines3.common.policies", |
|
"__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param sde_net_arch: Network architecture for extracting features\n when using gSDE. If None, the latent features from the policy will be used.\n Pass an empty list to use the states as features.\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", |
|
"__init__": "<function ActorCriticPolicy.__init__ at 0x7f672618c0e0>", |
|
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f672618c170>", |
|
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f672618c200>", |
|
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f672618c290>", |
|
"_build": "<function ActorCriticPolicy._build at 0x7f672618c320>", |
|
"forward": "<function ActorCriticPolicy.forward at 0x7f672618c3b0>", |
|
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f672618c440>", |
|
"_predict": "<function ActorCriticPolicy._predict at 0x7f672618c4d0>", |
|
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f672618c560>", |
|
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f672618c5f0>", |
|
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f672618c680>", |
|
"__abstractmethods__": "frozenset()", |
|
"_abc_impl": "<_abc_data object at 0x7f67261e30c0>" |
|
}, |
|
"verbose": 1, |
|
"policy_kwargs": {}, |
|
"observation_space": { |
|
":type:": "<class 'gym.spaces.box.Box'>", |
|
":serialized:": "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", |
|
"dtype": "float32", |
|
"_shape": [ |
|
8 |
|
], |
|
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", |
|
"high": "[inf inf inf inf inf inf inf inf]", |
|
"bounded_below": "[False False False False False False False False]", |
|
"bounded_above": "[False False False False False False False False]", |
|
"_np_random": null |
|
}, |
|
"action_space": { |
|
":type:": "<class 'gym.spaces.discrete.Discrete'>", |
|
":serialized:": "gAWVggAAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZROdWIu", |
|
"n": 4, |
|
"_shape": [], |
|
"dtype": "int64", |
|
"_np_random": null |
|
}, |
|
"n_envs": 16, |
|
"num_timesteps": 1507328, |
|
"_total_timesteps": 1500000, |
|
"_num_timesteps_at_start": 0, |
|
"seed": null, |
|
"action_noise": null, |
|
"start_time": 1666171256658216119, |
|
"learning_rate": 0.0003, |
|
"tensorboard_log": null, |
|
"lr_schedule": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"_last_obs": { |
|
":type:": "<class 'numpy.ndarray'>", |
|
":serialized:": "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" |
|
}, |
|
"_last_episode_starts": { |
|
":type:": "<class 'numpy.ndarray'>", |
|
":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg==" |
|
}, |
|
"_last_original_obs": null, |
|
"_episode_num": 0, |
|
"use_sde": false, |
|
"sde_sample_freq": -1, |
|
"_current_progress_remaining": -0.004885333333333408, |
|
"ep_info_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "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" |
|
}, |
|
"ep_success_buffer": { |
|
":type:": "<class 'collections.deque'>", |
|
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" |
|
}, |
|
"_n_updates": 492, |
|
"n_steps": 1024, |
|
"gamma": 0.999, |
|
"gae_lambda": 0.98, |
|
"ent_coef": 0.01, |
|
"vf_coef": 0.5, |
|
"max_grad_norm": 0.5, |
|
"batch_size": 64, |
|
"n_epochs": 4, |
|
"clip_range": { |
|
":type:": "<class 'function'>", |
|
":serialized:": "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" |
|
}, |
|
"clip_range_vf": null, |
|
"normalize_advantage": true, |
|
"target_kl": null |
|
} |